All retrospective image registration methods have attached to them some intrinsic estimate
of registration error. However, this estimate of accuracy may not always be a good indicator …

Purpose: The primary objective of this study is to perform a blinded evaluation of a group of
retrospective image registration techniques using as a gold standard a prospective, marker …

In a previous study (JB West et al., J. Comput. Assist. Tomogr., vol. 21, p. 554-66, 1997) the
authors demonstrated that automatic retrospective registration algorithms can frequently …

A blinded evaluation of two groups of retrospective image registration techniques was
performed using as a gold standard a prospective marker-based registration method, and …

The ever expanding gamut of medical imaging techniques provides the clinician an
increasingly multifaceted view of brain function and anatomy. The information provided by …

Objective: A fully automatic multimodality image registration algorithm is presented. The
method is primarily designed for 3D registration of MR and PET images of the brain …

In many circumstances the clinical interpretation of an imaging from a single image modality
is inadequate. A number of registration techniques have been introduced in the literature in …

This paper presents a novel technique to quantify and compare residual error throughout the
brain, resulting from multimodality image registration. We introduce and use a reference …

Objective: A variety of methods for matching intrasubject MRI-MRI, PET-PET, or MRI-PET
image pairs have been proposed. Based on the rigid body transformations needed to align …

Purpose Our goals were to (a) develop and validate a sensitive measure of image
registration, applicable between as well as within imaging modalities; and (b) quantify the …